Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked systems. Georgia Tech is a pioneering force in a new age of HCI, with research advances using creative new form factors and approaches by some of the field’s leading researchers, right here in Atlanta. Take a look at some of the people and work at the institute and how they are shaping the future of global HCI research.

Alumni and leading faculty of the UW Master of Human-Computer Interaction + Design discuss the innovative curriculum of this interdisciplinary program and the exciting career connections and opportunities available to graduates. Learn more at:
http://mhcid.washington.edu/
VideoTranscript:
[Jacob]
Our human-computer interaction and design program, I think, is ideally positioned to make a big impact in the world right now. Because as more and more products and services come out that are consumer facing and really involve the marriage between technology and people, we have to get that design right.
[Carolyn]
I think overall the industry is maturing. So before in technology if something worked it was magical, like it's cool that it works. But now, like people just have higher expectations of what will delight them, what will surprise them.
[Jacob]
The MHCID program is a cross-departmental, interdisciplinary program that is not owned by any one department. And the four departments that contribute faculty, time and resources to the program are the InformationSchool, where I come from, the Department of Computer Science and Engineering, the Department of Human Centered Design and Engineering, and the Division of Design within the School of Art.
[Carolyn]
Coming in I was totally surprised at the caliber of who was teaching our program. So there’s at least two or three professors I know in the past two years that were under, in the list of like 30 most innovative under 35. They’re like the people who wrote the book on input, on ubiquitous computing, on persuasive design.
[Linda]
Well, one of the nice things about this program is that, I think, it is more reflective of the workplace, in the sense that we recruit people from a variety of different backgrounds and perspectives and we bring them together.
[Chen-Hung]
It's a one year program, project based. It's basically centered with a studio class, and this studio class actually emphasizes on lots of hands-on work.
[Carolyn]
Our curriculum is focused on three specific sections. So, one research – so learning about the psychology and how, about people, how do you really understand and get at what people want and need, what their pain points are. And then from that, how do you ideate or create a solution to meet those needs. And then, prototyping a technology – learning how to actually execute on those types of ideas.
[Linda]
The capstone project is an opportunity to take all of the tools and knowledge that students have learned through our core curriculum and their electives and apply it to a more, a bit more intensive lengthy project.
[Jacob]
The capstone project is a massive portfolio piece that gives them a chance to really show off something substantial to a future employer.
[Linda]
We actually can provide a lot of hands-on career development support because we have a small cohort.
[Carolyn]
Since coming to the program I’ve had a ton of interviews with different design agencies, with technology companies, and I actually got a job as a user researcher at Amazon.
[Jacob]
Facebook and Google have taken some of the hires. We have others going out and doing startups of their own, and we have people working in nonprofits as well. So we're already starting to see a spread of opportunities that students are taking on.
[Linda]
A huge advantage is Seattle is a fantastic technology industry community and user experience community, and so, in fact, I think we are embedded in an incredibly dynamic global community that models exactly what we're teaching.
[Jacob]
For HCI and design, it really is maybe the nation’s center of gravity.

Amy Ogan (CS 2003,'08,'11) is an assistant professor of human-computer interaction in the School of Computer Science at Carnegie Mellon University in Pittsburgh.
An "educational technologist," Ogan's research focuses on ways to make learning experiences more engaging, effective and enjoyable. She's currently working on technology for college students, but her work will soon extend into K-12 classrooms.

City alumna Emily shares her experience of studying the Human-Computer InteractionDesign MSc at City University London and how undertaking this postgraduate course has helped her in her career.
For more information about Human-Computer Interaction Design
MSc, please visit: http://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design

published:04 Aug 2016

views:950

Hear about Human-computer interaction (HCI) from students and faculty in this short video!
HCI addresses the design, evaluation, and implementation of interactive computing and computing-based systems for the benefit of human use. HCI research is driven by technological advances and the increasing pervasiveness of computing devices in our society. With an emphasis on making computing technologies more user-friendly, HCI has emerged as a dynamic, multifaceted area of study that merges theory from science, engineering, and design—as well as concepts and methodologies from psychology, anthropology, sociology, and industrial design—with the technical concerns of computing.
Learn more - and apply - here: https://www.rit.edu/emcs/ptgrad/component/ptgrad/programdetail/1771

Human–computer interaction

Human–computer interaction (HCi) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.

As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.

Interaction design

In design, human–computer interaction, and software development, interaction design, often abbreviated IxD, is defined as "the practice of designing interactive digital products, environments, systems, and services." Like many other design fields interaction design also has an interest in form but its main focus is on behaviour. What clearly marks interaction design as a design field as opposed to a science or engineering field is that it involves synthesising and imagining things as they might be, more so than focusing on how things are.

Interaction design is heavily focused on satisfying the needs and desires of the majority of people who will use the product; other disciplines like software engineering have a heavy focus on designing for technical stakeholders of a project.

History

The term interaction design was first coined by Bill Moggridge and Bill Verplank in the mid-1980s. It would be another 10 years before other designers rediscovered the term and started using it. To Verplank, it was an adaptation of the computer science term user interface design to the industrial design profession. To Moggridge, it was an improvement over soft-face, which he had coined in 1984 to refer to the application of industrial design to products containing software.

Interaction

Interaction is a kind of action that occurs as two or more objects have an effect upon one another. The idea of a two-way effect is essential in the concept of interaction, as opposed to a one-way causal effect. A closely related term is interconnectivity, which deals with the interactions of interactions within systems: combinations of many simple interactions can lead to surprising emergent phenomena. Interaction has different tailored meanings in various sciences. Changes can also involve interaction.

Casual examples of interaction outside science include:

Communication of any sort, for example two or more people talking to each other, or communication among groups, organizations, nations or states: trade, migration, foreign relations, transportation,

The feedback during the operation of machines such as a computer or tool, for example the interaction between a driver and the position of his or her car on the road: by steering the driver influences this position, by observation this information returns to the driver.

Institute of technology

Institute of technology (also: university of technology, polytechnic university, technikon, and technical college) is a designation employed for a wide range of learning institutions awarding different types of degrees and operating often at variable levels of the educational system. It may be an institution of higher education and advanced engineering and scientific research or professional vocational education, specializing in science, engineering, and technology or different sorts of technical subjects. It may also refer to a secondary education school focused in vocational training. The term institute of technology is often abbreviated IT and is not to be confused with information technology.

The English term polytechnic appeared in the early 19th century, from the French École Polytechnique, an engineering school founded in 1794 in Paris. The French term comes from the Greekπολύ (polú or polý) meaning "many" and τεχνικός (tekhnikós) meaning "arts".

While the terms "institute of technology" and "polytechnic" are synonymous, the preference concerning which one is the preferred term varies from country to country.

About the HCI Institute

Human-Computer Interaction (HCI) at Georgia Tech

Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked systems. Georgia Tech is a pioneering force in a new age of HCI, with research advances using creative new form factors and approaches by some of the field’s leading researchers, right here in Atlanta. Take a look at some of the people and work at the institute and how they are shaping the future of global HCI research.

UW Master of Human-Computer Interaction + Design

Alumni and leading faculty of the UW Master of Human-Computer Interaction + Design discuss the innovative curriculum of this interdisciplinary program and the exciting career connections and opportunities available to graduates. Learn more at:
http://mhcid.washington.edu/
VideoTranscript:
[Jacob]
Our human-computer interaction and design program, I think, is ideally positioned to make a big impact in the world right now. Because as more and more products and services come out that are consumer facing and really involve the marriage between technology and people, we have to get that design right.
[Carolyn]
I think overall the industry is maturing. So before in technology if something worked it was magical, like it's cool that it works. But now, like people just have higher expectations of what will delight them, what will surprise them.
[Jacob]
The MHCID program is a cross-departmental, interdisciplinary program that is not owned by any one department. And the four departments that contribute faculty, time and resources to the program are the InformationSchool, where I come from, the Department of Computer Science and Engineering, the Department of Human Centered Design and Engineering, and the Division of Design within the School of Art.
[Carolyn]
Coming in I was totally surprised at the caliber of who was teaching our program. So there’s at least two or three professors I know in the past two years that were under, in the list of like 30 most innovative under 35. They’re like the people who wrote the book on input, on ubiquitous computing, on persuasive design.
[Linda]
Well, one of the nice things about this program is that, I think, it is more reflective of the workplace, in the sense that we recruit people from a variety of different backgrounds and perspectives and we bring them together.
[Chen-Hung]
It's a one year program, project based. It's basically centered with a studio class, and this studio class actually emphasizes on lots of hands-on work.
[Carolyn]
Our curriculum is focused on three specific sections. So, one research – so learning about the psychology and how, about people, how do you really understand and get at what people want and need, what their pain points are. And then from that, how do you ideate or create a solution to meet those needs. And then, prototyping a technology – learning how to actually execute on those types of ideas.
[Linda]
The capstone project is an opportunity to take all of the tools and knowledge that students have learned through our core curriculum and their electives and apply it to a more, a bit more intensive lengthy project.
[Jacob]
The capstone project is a massive portfolio piece that gives them a chance to really show off something substantial to a future employer.
[Linda]
We actually can provide a lot of hands-on career development support because we have a small cohort.
[Carolyn]
Since coming to the program I’ve had a ton of interviews with different design agencies, with technology companies, and I actually got a job as a user researcher at Amazon.
[Jacob]
Facebook and Google have taken some of the hires. We have others going out and doing startups of their own, and we have people working in nonprofits as well. So we're already starting to see a spread of opportunities that students are taking on.
[Linda]
A huge advantage is Seattle is a fantastic technology industry community and user experience community, and so, in fact, I think we are embedded in an incredibly dynamic global community that models exactly what we're teaching.
[Jacob]
For HCI and design, it really is maybe the nation’s center of gravity.

Amy Ogan (CS 2003,'08,'11) is an assistant professor of human-computer interaction in the School of Computer Science at Carnegie Mellon University in Pittsburgh.
An "educational technologist," Ogan's research focuses on ways to make learning experiences more engaging, effective and enjoyable. She's currently working on technology for college students, but her work will soon extend into K-12 classrooms.

CMU Interaction Design Studio Project 2014

1:30

City, University of London: MSc Human-Computer Interaction Design

City, University of London: MSc Human-Computer Interaction Design

City, University of London: MSc Human-Computer Interaction Design

City alumna Emily shares her experience of studying the Human-Computer InteractionDesign MSc at City University London and how undertaking this postgraduate course has helped her in her career.
For more information about Human-Computer Interaction Design
MSc, please visit: http://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design

3:36

Human Computer Interaction (HCI) at RIT - In their own words

Human Computer Interaction (HCI) at RIT - In their own words

Human Computer Interaction (HCI) at RIT - In their own words

Hear about Human-computer interaction (HCI) from students and faculty in this short video!
HCI addresses the design, evaluation, and implementation of interactive computing and computing-based systems for the benefit of human use. HCI research is driven by technological advances and the increasing pervasiveness of computing devices in our society. With an emphasis on making computing technologies more user-friendly, HCI has emerged as a dynamic, multifaceted area of study that merges theory from science, engineering, and design—as well as concepts and methodologies from psychology, anthropology, sociology, and industrial design—with the technical concerns of computing.
Learn more - and apply - here: https://www.rit.edu/emcs/ptgrad/component/ptgrad/programdetail/1771

This Tiny Sensor is An In-Home Monitoring System

The Future of InterfaceGroup, part of the Human Computer Interaction Institute at Carnegie Mellon University, have developed a computer chip that goes beyond traditional Internet of Things (IoT) and smart environment sensory technology. There are a total of seven metrics detected by the super sensor: electromagnetic interference and heat and humidity, among others. To achieve a smart environment “without direct instrumentation of objects” and “virtualize raw sensor data into actionable feeds” was the aim of the team of scientists who developed the sensor. The long-term goal is to also employ the sensor in various work environments.
Facebook: fb.com/interestingengineering
Twitter: twitter.com/intengineering
Instagram: instagram.com/interestingengineering
Linkedin: linkedin.com/company/10070590

Inkwell

This is the concept and result of our eight-month Capstone project, made in Carnegie Mellon University within the Human-Computer InteractionMaster's program, in collaboration with HP.
We looked at new ways of social expressions that leverage on effective combinations of physical and digital.
team:
Julien Altieri: http://www.julienaltieri.com
Nick Yeh: http://www.4hdesign.com
Arun Ganesan: http://www.magicalfour.com
Brian Yee: http://www.brianayee.com
Rachel Jakab: http://www.racheljakab.com/
Check out the project website! http://www.hcii.cmu.edu/M-HCI/2012/papercherry/

About the HCI Institute

Human-Computer Interaction (HCI) at Georgia Tech

Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked systems. Georgia Tech is a pioneering force in a new age of HCI, with research advances using creative new form factors and approaches by some of the field’s leading researchers, right here in Atlanta. Take a look at some of the people and work at the institute and how they are shaping the future of global HCI research.

6th CMU Summit - Human Computer Interaction Panel

The fast growth of contemporary production and services,
majorly operated by complex computer system, imposes a critical
challenge on the interaction between human and technologies.
Undesirable interface design will lead to uneasy operations,
causing inefficiencies and even accidents. Therefore, Human
Computer Interaction (HCI), the study of interfaces between
human and computer that aligns design study, behavioral science
and computer science, greatly impacts the establishment of a
convenient modern human life. Carnegie Mellon University has
long been reputed for its strength in computer science and design
studies. In 2017, the 6th CMUSummit opens the HCI panel to
connect the academia to the industry. We will discuss about the
research concepts and real-world applications of HCI.
Speake...

published: 02 May 2017

UW Master of Human-Computer Interaction + Design

Alumni and leading faculty of the UW Master of Human-Computer Interaction + Design discuss the innovative curriculum of this interdisciplinary program and the exciting career connections and opportunities available to graduates. Learn more at:
http://mhcid.washington.edu/
VideoTranscript:
[Jacob]
Our human-computer interaction and design program, I think, is ideally positioned to make a big impact in the world right now. Because as more and more products and services come out that are consumer facing and really involve the marriage between technology and people, we have to get that design right.
[Carolyn]
I think overall the industry is maturing. So before in technology if something worked it was magical, like it's cool that it works. But now, like people just have higher expectations ...

Amy Ogan (CS 2003,'08,'11) is an assistant professor of human-computer interaction in the School of Computer Science at Carnegie Mellon University in Pittsburgh.
An "educational technologist," Ogan's research focuses on ways to make learning experiences more engaging, effective and enjoyable. She's currently working on technology for college students, but her work will soon extend into K-12 classrooms.

CMU Interaction Design Studio Project 2014

published: 18 Feb 2015

City, University of London: MSc Human-Computer Interaction Design

City alumna Emily shares her experience of studying the Human-Computer InteractionDesign MSc at City University London and how undertaking this postgraduate course has helped her in her career.
For more information about Human-Computer Interaction Design
MSc, please visit: http://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design

published: 04 Aug 2016

Human Computer Interaction (HCI) at RIT - In their own words

Hear about Human-computer interaction (HCI) from students and faculty in this short video!
HCI addresses the design, evaluation, and implementation of interactive computing and computing-based systems for the benefit of human use. HCI research is driven by technological advances and the increasing pervasiveness of computing devices in our society. With an emphasis on making computing technologies more user-friendly, HCI has emerged as a dynamic, multifaceted area of study that merges theory from science, engineering, and design—as well as concepts and methodologies from psychology, anthropology, sociology, and industrial design—with the technical concerns of computing.
Learn more - and apply - here: https://www.rit.edu/emcs/ptgrad/component/ptgrad/programdetail/1771

This Tiny Sensor is An In-Home Monitoring System

The Future of InterfaceGroup, part of the Human Computer Interaction Institute at Carnegie Mellon University, have developed a computer chip that goes beyond traditional Internet of Things (IoT) and smart environment sensory technology. There are a total of seven metrics detected by the super sensor: electromagnetic interference and heat and humidity, among others. To achieve a smart environment “without direct instrumentation of objects” and “virtualize raw sensor data into actionable feeds” was the aim of the team of scientists who developed the sensor. The long-term goal is to also employ the sensor in various work environments.
Facebook: fb.com/interestingengineering
Twitter: twitter.com/intengineering
Instagram: instagram.com/interestingengineering
Linkedin: linkedin.com/company/1...

Inkwell

This is the concept and result of our eight-month Capstone project, made in Carnegie Mellon University within the Human-Computer InteractionMaster's program, in collaboration with HP.
We looked at new ways of social expressions that leverage on effective combinations of physical and digital.
team:
Julien Altieri: http://www.julienaltieri.com
Nick Yeh: http://www.4hdesign.com
Arun Ganesan: http://www.magicalfour.com
Brian Yee: http://www.brianayee.com
Rachel Jakab: http://www.racheljakab.com/
Check out the project website! http://www.hcii.cmu.edu/M-HCI/2012/papercherry/

Human-Computer Interaction (HCI) at Georgia Tech

Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked sys...

Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked systems. Georgia Tech is a pioneering force in a new age of HCI, with research advances using creative new form factors and approaches by some of the field’s leading researchers, right here in Atlanta. Take a look at some of the people and work at the institute and how they are shaping the future of global HCI research.

Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked systems. Georgia Tech is a pioneering force in a new age of HCI, with research advances using creative new form factors and approaches by some of the field’s leading researchers, right here in Atlanta. Take a look at some of the people and work at the institute and how they are shaping the future of global HCI research.

Alumni and leading faculty of the UW Master of Human-Computer Interaction + Design discuss the innovative curriculum of this interdisciplinary program and the exciting career connections and opportunities available to graduates. Learn more at:
http://mhcid.washington.edu/
VideoTranscript:
[Jacob]
Our human-computer interaction and design program, I think, is ideally positioned to make a big impact in the world right now. Because as more and more products and services come out that are consumer facing and really involve the marriage between technology and people, we have to get that design right.
[Carolyn]
I think overall the industry is maturing. So before in technology if something worked it was magical, like it's cool that it works. But now, like people just have higher expectations of what will delight them, what will surprise them.
[Jacob]
The MHCID program is a cross-departmental, interdisciplinary program that is not owned by any one department. And the four departments that contribute faculty, time and resources to the program are the InformationSchool, where I come from, the Department of Computer Science and Engineering, the Department of Human Centered Design and Engineering, and the Division of Design within the School of Art.
[Carolyn]
Coming in I was totally surprised at the caliber of who was teaching our program. So there’s at least two or three professors I know in the past two years that were under, in the list of like 30 most innovative under 35. They’re like the people who wrote the book on input, on ubiquitous computing, on persuasive design.
[Linda]
Well, one of the nice things about this program is that, I think, it is more reflective of the workplace, in the sense that we recruit people from a variety of different backgrounds and perspectives and we bring them together.
[Chen-Hung]
It's a one year program, project based. It's basically centered with a studio class, and this studio class actually emphasizes on lots of hands-on work.
[Carolyn]
Our curriculum is focused on three specific sections. So, one research – so learning about the psychology and how, about people, how do you really understand and get at what people want and need, what their pain points are. And then from that, how do you ideate or create a solution to meet those needs. And then, prototyping a technology – learning how to actually execute on those types of ideas.
[Linda]
The capstone project is an opportunity to take all of the tools and knowledge that students have learned through our core curriculum and their electives and apply it to a more, a bit more intensive lengthy project.
[Jacob]
The capstone project is a massive portfolio piece that gives them a chance to really show off something substantial to a future employer.
[Linda]
We actually can provide a lot of hands-on career development support because we have a small cohort.
[Carolyn]
Since coming to the program I’ve had a ton of interviews with different design agencies, with technology companies, and I actually got a job as a user researcher at Amazon.
[Jacob]
Facebook and Google have taken some of the hires. We have others going out and doing startups of their own, and we have people working in nonprofits as well. So we're already starting to see a spread of opportunities that students are taking on.
[Linda]
A huge advantage is Seattle is a fantastic technology industry community and user experience community, and so, in fact, I think we are embedded in an incredibly dynamic global community that models exactly what we're teaching.
[Jacob]
For HCI and design, it really is maybe the nation’s center of gravity.

Alumni and leading faculty of the UW Master of Human-Computer Interaction + Design discuss the innovative curriculum of this interdisciplinary program and the exciting career connections and opportunities available to graduates. Learn more at:
http://mhcid.washington.edu/
VideoTranscript:
[Jacob]
Our human-computer interaction and design program, I think, is ideally positioned to make a big impact in the world right now. Because as more and more products and services come out that are consumer facing and really involve the marriage between technology and people, we have to get that design right.
[Carolyn]
I think overall the industry is maturing. So before in technology if something worked it was magical, like it's cool that it works. But now, like people just have higher expectations of what will delight them, what will surprise them.
[Jacob]
The MHCID program is a cross-departmental, interdisciplinary program that is not owned by any one department. And the four departments that contribute faculty, time and resources to the program are the InformationSchool, where I come from, the Department of Computer Science and Engineering, the Department of Human Centered Design and Engineering, and the Division of Design within the School of Art.
[Carolyn]
Coming in I was totally surprised at the caliber of who was teaching our program. So there’s at least two or three professors I know in the past two years that were under, in the list of like 30 most innovative under 35. They’re like the people who wrote the book on input, on ubiquitous computing, on persuasive design.
[Linda]
Well, one of the nice things about this program is that, I think, it is more reflective of the workplace, in the sense that we recruit people from a variety of different backgrounds and perspectives and we bring them together.
[Chen-Hung]
It's a one year program, project based. It's basically centered with a studio class, and this studio class actually emphasizes on lots of hands-on work.
[Carolyn]
Our curriculum is focused on three specific sections. So, one research – so learning about the psychology and how, about people, how do you really understand and get at what people want and need, what their pain points are. And then from that, how do you ideate or create a solution to meet those needs. And then, prototyping a technology – learning how to actually execute on those types of ideas.
[Linda]
The capstone project is an opportunity to take all of the tools and knowledge that students have learned through our core curriculum and their electives and apply it to a more, a bit more intensive lengthy project.
[Jacob]
The capstone project is a massive portfolio piece that gives them a chance to really show off something substantial to a future employer.
[Linda]
We actually can provide a lot of hands-on career development support because we have a small cohort.
[Carolyn]
Since coming to the program I’ve had a ton of interviews with different design agencies, with technology companies, and I actually got a job as a user researcher at Amazon.
[Jacob]
Facebook and Google have taken some of the hires. We have others going out and doing startups of their own, and we have people working in nonprofits as well. So we're already starting to see a spread of opportunities that students are taking on.
[Linda]
A huge advantage is Seattle is a fantastic technology industry community and user experience community, and so, in fact, I think we are embedded in an incredibly dynamic global community that models exactly what we're teaching.
[Jacob]
For HCI and design, it really is maybe the nation’s center of gravity.

Amy Ogan (CS 2003,'08,'11) is an assistant professor of human-computer interaction in the School of Computer Science at Carnegie Mellon University in Pittsburgh.
An "educational technologist," Ogan's research focuses on ways to make learning experiences more engaging, effective and enjoyable. She's currently working on technology for college students, but her work will soon extend into K-12 classrooms.

Amy Ogan (CS 2003,'08,'11) is an assistant professor of human-computer interaction in the School of Computer Science at Carnegie Mellon University in Pittsburgh.
An "educational technologist," Ogan's research focuses on ways to make learning experiences more engaging, effective and enjoyable. She's currently working on technology for college students, but her work will soon extend into K-12 classrooms.

City alumna Emily shares her experience of studying the Human-Computer InteractionDesign MSc at City University London and how undertaking this postgraduate course has helped her in her career.
For more information about Human-Computer Interaction Design
MSc, please visit: http://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design

City alumna Emily shares her experience of studying the Human-Computer InteractionDesign MSc at City University London and how undertaking this postgraduate course has helped her in her career.
For more information about Human-Computer Interaction Design
MSc, please visit: http://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design

Hear about Human-computer interaction (HCI) from students and faculty in this short video!
HCI addresses the design, evaluation, and implementation of interactive computing and computing-based systems for the benefit of human use. HCI research is driven by technological advances and the increasing pervasiveness of computing devices in our society. With an emphasis on making computing technologies more user-friendly, HCI has emerged as a dynamic, multifaceted area of study that merges theory from science, engineering, and design—as well as concepts and methodologies from psychology, anthropology, sociology, and industrial design—with the technical concerns of computing.
Learn more - and apply - here: https://www.rit.edu/emcs/ptgrad/component/ptgrad/programdetail/1771

Hear about Human-computer interaction (HCI) from students and faculty in this short video!
HCI addresses the design, evaluation, and implementation of interactive computing and computing-based systems for the benefit of human use. HCI research is driven by technological advances and the increasing pervasiveness of computing devices in our society. With an emphasis on making computing technologies more user-friendly, HCI has emerged as a dynamic, multifaceted area of study that merges theory from science, engineering, and design—as well as concepts and methodologies from psychology, anthropology, sociology, and industrial design—with the technical concerns of computing.
Learn more - and apply - here: https://www.rit.edu/emcs/ptgrad/component/ptgrad/programdetail/1771

The Future of InterfaceGroup, part of the Human Computer Interaction Institute at Carnegie Mellon University, have developed a computer chip that goes beyond traditional Internet of Things (IoT) and smart environment sensory technology. There are a total of seven metrics detected by the super sensor: electromagnetic interference and heat and humidity, among others. To achieve a smart environment “without direct instrumentation of objects” and “virtualize raw sensor data into actionable feeds” was the aim of the team of scientists who developed the sensor. The long-term goal is to also employ the sensor in various work environments.
Facebook: fb.com/interestingengineering
Twitter: twitter.com/intengineering
Instagram: instagram.com/interestingengineering
Linkedin: linkedin.com/company/10070590

The Future of InterfaceGroup, part of the Human Computer Interaction Institute at Carnegie Mellon University, have developed a computer chip that goes beyond traditional Internet of Things (IoT) and smart environment sensory technology. There are a total of seven metrics detected by the super sensor: electromagnetic interference and heat and humidity, among others. To achieve a smart environment “without direct instrumentation of objects” and “virtualize raw sensor data into actionable feeds” was the aim of the team of scientists who developed the sensor. The long-term goal is to also employ the sensor in various work environments.
Facebook: fb.com/interestingengineering
Twitter: twitter.com/intengineering
Instagram: instagram.com/interestingengineering
Linkedin: linkedin.com/company/10070590

This is the concept and result of our eight-month Capstone project, made in Carnegie Mellon University within the Human-Computer InteractionMaster's program, in collaboration with HP.
We looked at new ways of social expressions that leverage on effective combinations of physical and digital.
team:
Julien Altieri: http://www.julienaltieri.com
Nick Yeh: http://www.4hdesign.com
Arun Ganesan: http://www.magicalfour.com
Brian Yee: http://www.brianayee.com
Rachel Jakab: http://www.racheljakab.com/
Check out the project website! http://www.hcii.cmu.edu/M-HCI/2012/papercherry/

This is the concept and result of our eight-month Capstone project, made in Carnegie Mellon University within the Human-Computer InteractionMaster's program, in collaboration with HP.
We looked at new ways of social expressions that leverage on effective combinations of physical and digital.
team:
Julien Altieri: http://www.julienaltieri.com
Nick Yeh: http://www.4hdesign.com
Arun Ganesan: http://www.magicalfour.com
Brian Yee: http://www.brianayee.com
Rachel Jakab: http://www.racheljakab.com/
Check out the project website! http://www.hcii.cmu.edu/M-HCI/2012/papercherry/

6th CMU Summit - Human Computer Interaction Panel

The fast growth of contemporary production and services,
majorly operated by complex computer system, imposes a critical
challenge on the interaction between human and technologies.
Undesirable interface design will lead to uneasy operations,
causing inefficiencies and even accidents. Therefore, Human
Computer Interaction (HCI), the study of interfaces between
human and computer that aligns design study, behavioral science
and computer science, greatly impacts the establishment of a
convenient modern human life. Carnegie Mellon University has
long been reputed for its strength in computer science and design
studies. In 2017, the 6th CMUSummit opens the HCI panel to
connect the academia to the industry. We will discuss about the
research concepts and real-world applications of HCI.
Speake...

Vital services such as communications, financial trading, health care, and transportation depend on sophisticated algorithms. Some rely on unpredictable artificial intelligence techniques, such as deep learning, that are increasingly embedded in complex software systems. As high-speed trading, medical devices, and autonomous aircraft become more widely used, stronger checks are necessary to prevent failures. Design strategies that promote comprehensible, predictable, and controllable human-centered systems can increase safety and make failure investigations more effective. Social strategies that support human-centered independent oversight during planning, continuous monitoring during operation, and retrospective analyses following failures can play a powerful role in making more reliable ...

"Let Me Show You What I Think We Mean":Using Visual Models in the Design Process

Google Tech Talks
May 4, 2007
ABSTRACT
In this talk I will explain how we use visual modeling as a collaborative tool in the product and service design process to establish a common language and frame of reference among people from design, business, and technology. I will illustrate how we use models to map the territory of a project, as a tool to bridge the gap between immersive research and design implications, and as method for documenting the shift from what something might be to what something might be like as a solution.
Speaker: Shelley Evenson
Shelley Evenson is Director of Graduate Studies and an Associate Professor teaching in the area of interaction design in the School of Design at Carnegie Mellon University. She is also a voting faculty for the Human-Computer Inte...

published: 22 Aug 2012

Analyzing the Privacy of Android Apps

Google Tech Talk
June 17, 2015
(click "show more" for more info)
Presented by Jason Hong, Carnegie Mellon University
ABSTRACT:
Many smartphone apps collect sensitive data about people, in a manner that many users find very surprising. How can we help everyday people in understanding the behaviors of their apps?
In this talk, Jason Hong presents three things. The first is results of interviews and surveys of app developers, probing their attitudes and behaviors towards privacy. The second is PrivacyGrade.org, a site that combines crowdsourcing and static analysis to analyze the behavior of 1M Android apps. The third is Gort, a tool that combines heuristics, crowdsourcing, and dynamic analysis to help analysts understand the behavior of a given app.
Since the original presentation, Andr...

TLAC Frontier Lecture Series

Deep Learning and the Future of AI | Yann LeCun | Talk 1/2

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, and identifiy objects in our photos with very good accuracy. These improvements are due in large part to the emergence of a new class of machine learning methods known as Deep Learning. A particular type of deep learning system called convolutional network (ConvNet) has been particularly successful for image and speech recognition.
But we are still quite far from emulating the learning abilities of animal of humans. A key element we are missing is predictive (or unsupervised) learning: the ability of a machine to model the environment, predict possible futures and understand how the world works by observing it and acting in it, a v...

The Human at the Heart of our Work: Advancing Social Theory and Engineering Practice

Google Tech TalkJanuary 10, 2011
Presented by Justine Cassell.
ABSTRACT
How do we build an interdisciplinary HCI that contributes equally to social theory and engineering practice? On the one hand, how do we maximize the benefits that theory can bring to the design of actual artifacts that improve health, well-being, education, and social change? On the other hand, how do we maximize the use of technological artifacts in pushing the boundaries of social theory? In sum, how do we understand human behavior with, through, and in response to new technologies, and how do we design new technologies shaped by this understanding?
In this talk, I use examples from my recent research and that of the other faculty at Carnegie Mellon's Human-Computer Interaction Institute to illustrate dimensi...

This video is an opportunity for you to learn more about Carnegie Mellon University's innovative degree in educational technology offered through the renowned Human-Computer Interaction Institute. If you are passionate about leveraging technology to develop better learning outcomes, consider pursuing a Masters of Educational Technology and LearningScience (METALS) degree. Our alumni are learning designers, learning engineers, and education designers within organizations that are impacting the industry and creating the future of education.

Vital services such as communications, financial trading, health care, and transportation depend on sophisticated algorithms. Some rely on unpredictable artific...

Vital services such as communications, financial trading, health care, and transportation depend on sophisticated algorithms. Some rely on unpredictable artificial intelligence techniques, such as deep learning, that are increasingly embedded in complex software systems. As high-speed trading, medical devices, and autonomous aircraft become more widely used, stronger checks are necessary to prevent failures. Design strategies that promote comprehensible, predictable, and controllable human-centered systems can increase safety and make failure investigations more effective. Social strategies that support human-centered independent oversight during planning, continuous monitoring during operation, and retrospective analyses following failures can play a powerful role in making more reliable and trustworthy systems. Clarifying responsibility for failures stimulates improved design thinking.
Ben Shneiderman is a Distinguished University Professor in the Department of Computer Science and the founding director (1983–2000) of the Human-Computer Interaction Laboratory at the University of Maryland, where he is also a member of the University of Maryland Institute for Advanced Computer Studies.
This event is cosponsored by the HarvardData ScienceInitiative.
For information about the Radcliffe Institute and its many public programs, visit https://www.radcliffe.harvard.edu/.

Vital services such as communications, financial trading, health care, and transportation depend on sophisticated algorithms. Some rely on unpredictable artificial intelligence techniques, such as deep learning, that are increasingly embedded in complex software systems. As high-speed trading, medical devices, and autonomous aircraft become more widely used, stronger checks are necessary to prevent failures. Design strategies that promote comprehensible, predictable, and controllable human-centered systems can increase safety and make failure investigations more effective. Social strategies that support human-centered independent oversight during planning, continuous monitoring during operation, and retrospective analyses following failures can play a powerful role in making more reliable and trustworthy systems. Clarifying responsibility for failures stimulates improved design thinking.
Ben Shneiderman is a Distinguished University Professor in the Department of Computer Science and the founding director (1983–2000) of the Human-Computer Interaction Laboratory at the University of Maryland, where he is also a member of the University of Maryland Institute for Advanced Computer Studies.
This event is cosponsored by the HarvardData ScienceInitiative.
For information about the Radcliffe Institute and its many public programs, visit https://www.radcliffe.harvard.edu/.

"Let Me Show You What I Think We Mean":Using Visual Models in the Design Process

Google Tech Talks
May 4, 2007
ABSTRACT
In this talk I will explain how we use visual modeling as a collaborative tool in the product and service design p...

Google Tech Talks
May 4, 2007
ABSTRACT
In this talk I will explain how we use visual modeling as a collaborative tool in the product and service design process to establish a common language and frame of reference among people from design, business, and technology. I will illustrate how we use models to map the territory of a project, as a tool to bridge the gap between immersive research and design implications, and as method for documenting the shift from what something might be to what something might be like as a solution.
Speaker: Shelley Evenson
Shelley Evenson is Director of Graduate Studies and an Associate Professor teaching in the area of interaction design in the School of Design at Carnegie Mellon University. She is also a voting faculty for the Human-Computer Interaction Institute at Carnegie Mellon. Prior to Carnegie Mellon, Shelley was an Adjunct Clinical Professor in the Technology and eCommerce Program, J.L.Kellogg Graduate School of Management.
Shelley has worked for more than 25 years in multidisciplinary consulting practices. Her work focuses on tapping into the needs of constituents, defining the best opportunities to respond to those needs, quickly prototyping the response and iteratively reshaping it based on feedback. Her current interests include design languages and strategy, experiences that skill, organizational interfaces, design for service and what lies beyond user-centered design.
Google engEDU
Speaker: Shelley Evenson

Google Tech Talks
May 4, 2007
ABSTRACT
In this talk I will explain how we use visual modeling as a collaborative tool in the product and service design process to establish a common language and frame of reference among people from design, business, and technology. I will illustrate how we use models to map the territory of a project, as a tool to bridge the gap between immersive research and design implications, and as method for documenting the shift from what something might be to what something might be like as a solution.
Speaker: Shelley Evenson
Shelley Evenson is Director of Graduate Studies and an Associate Professor teaching in the area of interaction design in the School of Design at Carnegie Mellon University. She is also a voting faculty for the Human-Computer Interaction Institute at Carnegie Mellon. Prior to Carnegie Mellon, Shelley was an Adjunct Clinical Professor in the Technology and eCommerce Program, J.L.Kellogg Graduate School of Management.
Shelley has worked for more than 25 years in multidisciplinary consulting practices. Her work focuses on tapping into the needs of constituents, defining the best opportunities to respond to those needs, quickly prototyping the response and iteratively reshaping it based on feedback. Her current interests include design languages and strategy, experiences that skill, organizational interfaces, design for service and what lies beyond user-centered design.
Google engEDU
Speaker: Shelley Evenson

Google Tech Talk
June 17, 2015
(click "show more" for more info)
Presented by Jason Hong, Carnegie Mellon University
ABSTRACT:
Many smartphone apps collect sensitive data about people, in a manner that many users find very surprising. How can we help everyday people in understanding the behaviors of their apps?
In this talk, Jason Hong presents three things. The first is results of interviews and surveys of app developers, probing their attitudes and behaviors towards privacy. The second is PrivacyGrade.org, a site that combines crowdsourcing and static analysis to analyze the behavior of 1M Android apps. The third is Gort, a tool that combines heuristics, crowdsourcing, and dynamic analysis to help analysts understand the behavior of a given app.
Since the original presentation, Android M launched a new permission model that Hong described as "offer[ing] a lot more privacy protection for people, primarily by making it easier to see what data is being requested as it is being used."
ABOUT THE SPEAKER:
Jason Hong is an associate professor in the Human Computer Interaction Institute at Carnegie Mellon University. He works in the areas of ubiquitous computing and usable privacy and security, and his research has been featured in the New York Times, MIT Tech Review, CBS Morning Show, CNN, Slate, and more. Jason is also a co-founder of WombatSecurity Technologies, and has participated on DARPA's Computer ScienceStudy Panel (CS2P), is an Alfred P. SloanResearch Fellow, a Kavli Fellow, a PopTech Science fellow, and currently holds the HCIICareer Development fellowship.

Google Tech Talk
June 17, 2015
(click "show more" for more info)
Presented by Jason Hong, Carnegie Mellon University
ABSTRACT:
Many smartphone apps collect sensitive data about people, in a manner that many users find very surprising. How can we help everyday people in understanding the behaviors of their apps?
In this talk, Jason Hong presents three things. The first is results of interviews and surveys of app developers, probing their attitudes and behaviors towards privacy. The second is PrivacyGrade.org, a site that combines crowdsourcing and static analysis to analyze the behavior of 1M Android apps. The third is Gort, a tool that combines heuristics, crowdsourcing, and dynamic analysis to help analysts understand the behavior of a given app.
Since the original presentation, Android M launched a new permission model that Hong described as "offer[ing] a lot more privacy protection for people, primarily by making it easier to see what data is being requested as it is being used."
ABOUT THE SPEAKER:
Jason Hong is an associate professor in the Human Computer Interaction Institute at Carnegie Mellon University. He works in the areas of ubiquitous computing and usable privacy and security, and his research has been featured in the New York Times, MIT Tech Review, CBS Morning Show, CNN, Slate, and more. Jason is also a co-founder of WombatSecurity Technologies, and has participated on DARPA's Computer ScienceStudy Panel (CS2P), is an Alfred P. SloanResearch Fellow, a Kavli Fellow, a PopTech Science fellow, and currently holds the HCIICareer Development fellowship.

Deep Learning and the Future of AI | Yann LeCun | Talk 1/2

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, an...

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, and identifiy objects in our photos with very good accuracy. These improvements are due in large part to the emergence of a new class of machine learning methods known as Deep Learning. A particular type of deep learning system called convolutional network (ConvNet) has been particularly successful for image and speech recognition.
But we are still quite far from emulating the learning abilities of animal of humans. A key element we are missing is predictive (or unsupervised) learning: the ability of a machine to model the environment, predict possible futures and understand how the world works by observing it and acting in it, a very active topic of research at the moment.
Yann LeCun,
Facebook AI Research & New York University.
---
Yann LeCun is Director of AI Research at Facebook, and SilverProfessor of DaraScience, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYUCenter for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer EngineeringDepartment.
He received the Electrical EngineerDiploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image ProcessingResearch Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty.
His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition.
LeCun has been on the editorial board of IJCV, IEEEPAMI, and IEEE Trans. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013 and 2014. He is on the science advisory board of Institute for Pure and Applied Mathematics, and has advised many large and small companies about machine learning technology, including several startups he co-founded. He is the lead faculty at NYU for the Moore-Sloan Data Science Environment, a $36M initiative in collaboration with UC Berkeley and University of Washington to develop data-driven methods in the sciences. He is the recipient of the 2014 IEEE Neural NetworkPioneer Award.

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, and identifiy objects in our photos with very good accuracy. These improvements are due in large part to the emergence of a new class of machine learning methods known as Deep Learning. A particular type of deep learning system called convolutional network (ConvNet) has been particularly successful for image and speech recognition.
But we are still quite far from emulating the learning abilities of animal of humans. A key element we are missing is predictive (or unsupervised) learning: the ability of a machine to model the environment, predict possible futures and understand how the world works by observing it and acting in it, a very active topic of research at the moment.
Yann LeCun,
Facebook AI Research & New York University.
---
Yann LeCun is Director of AI Research at Facebook, and SilverProfessor of DaraScience, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYUCenter for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer EngineeringDepartment.
He received the Electrical EngineerDiploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image ProcessingResearch Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty.
His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition.
LeCun has been on the editorial board of IJCV, IEEEPAMI, and IEEE Trans. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013 and 2014. He is on the science advisory board of Institute for Pure and Applied Mathematics, and has advised many large and small companies about machine learning technology, including several startups he co-founded. He is the lead faculty at NYU for the Moore-Sloan Data Science Environment, a $36M initiative in collaboration with UC Berkeley and University of Washington to develop data-driven methods in the sciences. He is the recipient of the 2014 IEEE Neural NetworkPioneer Award.

Title: Learning to code: Why we fail, how we flourish
Speaker Bio:
Andrew J. Ko is an Associate Professor at the University of Washington Information School and an Adjunct Associate Professor in the Paul G. AllenSchool of Computer Science and Engineering. He directs the Code & Cognition lab, which studies interactions between people and code, spanning the areas of human-computer interaction, computing education, and software engineering. He is the author of over 90 peer-reviewed publications, 9 receiving best paper awards and 2 receiving most influential paper awards. He received his Ph.D. at the Human-Computer Interaction Institute at Carnegie Mellon University in 2008, and degrees in Computer Science and Psychology with Honors from Oregon State University in 2002.
Abstract:
Millions of people are learning to code, but most fail. Why? In this talk I argue that we actually know very little about what programming is or how people learn it. I present my lab's numerous efforts to investigate these problems, including including studies of programming expertise, the failures of classes, bootcamps, books, and coding tutorials at promoting learning, and the challenges of sustaining interest in learning over time. I also present several new tools and techniques for learning to code that can substantially increase learning, productivity, and self-efficacy, including an approach to completely teaching rank novices a programming language in just a few hours. These findings are just a glimpse into the rapidly evolving area of computing education research.

Title: Learning to code: Why we fail, how we flourish
Speaker Bio:
Andrew J. Ko is an Associate Professor at the University of Washington Information School and an Adjunct Associate Professor in the Paul G. AllenSchool of Computer Science and Engineering. He directs the Code & Cognition lab, which studies interactions between people and code, spanning the areas of human-computer interaction, computing education, and software engineering. He is the author of over 90 peer-reviewed publications, 9 receiving best paper awards and 2 receiving most influential paper awards. He received his Ph.D. at the Human-Computer Interaction Institute at Carnegie Mellon University in 2008, and degrees in Computer Science and Psychology with Honors from Oregon State University in 2002.
Abstract:
Millions of people are learning to code, but most fail. Why? In this talk I argue that we actually know very little about what programming is or how people learn it. I present my lab's numerous efforts to investigate these problems, including including studies of programming expertise, the failures of classes, bootcamps, books, and coding tutorials at promoting learning, and the challenges of sustaining interest in learning over time. I also present several new tools and techniques for learning to code that can substantially increase learning, productivity, and self-efficacy, including an approach to completely teaching rank novices a programming language in just a few hours. These findings are just a glimpse into the rapidly evolving area of computing education research.

Google Tech TalkJanuary 10, 2011
Presented by Justine Cassell.
ABSTRACT
How do we build an interdisciplinary HCI that contributes equally to social theory and engineering practice? On the one hand, how do we maximize the benefits that theory can bring to the design of actual artifacts that improve health, well-being, education, and social change? On the other hand, how do we maximize the use of technological artifacts in pushing the boundaries of social theory? In sum, how do we understand human behavior with, through, and in response to new technologies, and how do we design new technologies shaped by this understanding?
In this talk, I use examples from my recent research and that of the other faculty at Carnegie Mellon's Human-Computer Interaction Institute to illustrate dimensions of these questions. By referencing a range of work that depends intrinsically on both social theory and engineering practice, I point to ways that HCI can contribute to both. This work reflects my perspective on the power and promise of HCI research to make significant contributions to social theory and to engineering practice, and the power and promise of a partnership between social theory and engineering practice to keep the human always at the heart of our work.
Bio: Justine Cassell joined Carnegie Mellon University in August as director of the Human-Computer Interaction Institute in the School of Computer Science. A member of the faculty at Northwestern University from 2003 to 2010, she was the founding director of its Center for Technology and SocialBehavior, and before that was a tenured professor in the MIT Media Lab.
A graduate of France's Université de Besançon and Dartmouth College, Cassell earned a master's degree in linguistics from the University of Edinburgh and a dual doctorate in linguistics and psychology from the University of Chicago. Her research interests originated in the study of human-human conversation and storytelling. Interested in allowing computational systems to participate in these activities, she deconstructed the linguistic and nonverbal elements of conversation and storytelling in such a way as to embody machines with conversational, social and narrative intelligence. She is credited with developing the Embodied Conversational Agent — a virtual human capable of interacting with people using both verbal and non-verbal behavior. Her research has come to address the impact and benefits of technologies such as these on learning and communication. Cassell held the AT&TResearchChair at Northwestern beginning in 2006 and was honored in 2008 with the "Women of Vision" award from the Anita Borg Institute.

Google Tech TalkJanuary 10, 2011
Presented by Justine Cassell.
ABSTRACT
How do we build an interdisciplinary HCI that contributes equally to social theory and engineering practice? On the one hand, how do we maximize the benefits that theory can bring to the design of actual artifacts that improve health, well-being, education, and social change? On the other hand, how do we maximize the use of technological artifacts in pushing the boundaries of social theory? In sum, how do we understand human behavior with, through, and in response to new technologies, and how do we design new technologies shaped by this understanding?
In this talk, I use examples from my recent research and that of the other faculty at Carnegie Mellon's Human-Computer Interaction Institute to illustrate dimensions of these questions. By referencing a range of work that depends intrinsically on both social theory and engineering practice, I point to ways that HCI can contribute to both. This work reflects my perspective on the power and promise of HCI research to make significant contributions to social theory and to engineering practice, and the power and promise of a partnership between social theory and engineering practice to keep the human always at the heart of our work.
Bio: Justine Cassell joined Carnegie Mellon University in August as director of the Human-Computer Interaction Institute in the School of Computer Science. A member of the faculty at Northwestern University from 2003 to 2010, she was the founding director of its Center for Technology and SocialBehavior, and before that was a tenured professor in the MIT Media Lab.
A graduate of France's Université de Besançon and Dartmouth College, Cassell earned a master's degree in linguistics from the University of Edinburgh and a dual doctorate in linguistics and psychology from the University of Chicago. Her research interests originated in the study of human-human conversation and storytelling. Interested in allowing computational systems to participate in these activities, she deconstructed the linguistic and nonverbal elements of conversation and storytelling in such a way as to embody machines with conversational, social and narrative intelligence. She is credited with developing the Embodied Conversational Agent — a virtual human capable of interacting with people using both verbal and non-verbal behavior. Her research has come to address the impact and benefits of technologies such as these on learning and communication. Cassell held the AT&TResearchChair at Northwestern beginning in 2006 and was honored in 2008 with the "Women of Vision" award from the Anita Borg Institute.

CHI 2017 SIGCHILifetimeResearchAward: Brad A. Myers - RUBY: Reminiscing about User interfaces by Brad over the YearsBrad Myers, Human-Computer Interaction InstituteCarnegie Mellon University, Pittsburgh, United States
Brad Myers has been doing research in the area of human-computer interaction for the last 40 years. Along the way, he and his students created over 60 software systems, whose names are often acronyms for gemstones. This talk's acronym, Ruby, is fittingly the gemstone associated with a 40th anniversary. Myers's MITMaster's thesis, Incense, was one of the earliest data visualization systems. While working for PERQ Systems Corporation, Brad created one of the first commercial window managers, called Sapphire, with a number of features that later became widespread. His PhD dissertation featured an interactive tool called Peridot, a programming-by-demonstration system that specified the look and behaviors of widgets without conventional programming. At Carnegie Mellon University, he created the Garnet and Amulet toolkits that incorporated novel designs for objects, constraints, output handling, input handling, command objects, and interactive tools. Many of the innovations in these projects have been adopted by later research and commercial systems. Brad was one of the early researchers on innovative uses for handheld devices, in a large-scale project called Pebbles. Another focus has been on using HCI techniques to improve programming for novice, expert, and end-user programmers.
About Brad A. Myers
Brad A. Myers is a Professor in the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University. He is a member of the CHI Academy, a Fellow of the IEEE and ACM, and winner of nine best paper type awards and three Most Influential Paper awards. He is the author or editor of 475 publications, including 85 at CHI, and is one of a select few who has attended every CHI conference. He has served on the editorial boards of six journals, including HCI, ToCHI and IwC. His MIT Master’s thesis on “Incense” was one of the earliest data visualization systems. While working for PERQ Systems Corporation, Brad created one of the first commercial window managers with a number of features which later became widespread. His PhD dissertation from the University of Toronto featured an interactive tool called “Peridot,” a programming-by- demonstration system that specified the look and behaviors of widgets without conventional programming. At Carnegie Mellon University, he created the “Garnet” and “Amulet” toolkits, which incorporated novel designs for objects, constraints, output handling, input handling, command objects, and interactive tools. Many of the innovations in these projects have been adopted by later research and commercial systems. Brad was one of the early researchers on innovative uses for handheld devices. More recently, he has focused on using HCI techniques to improve programming for novice, expert, and end-user programmers. He has advised over 200 students, including 16 PhD students, many of whom are also professors, or are at top research labs.
About the SIGCHI Lifetime Research Award
The SIGCHI Lifetime Research Award is presented to individuals for outstanding contributions to the study of human-computer interaction. This award recognizes the very best, most fundamental and influential research contributions. It is awarded for a lifetime of innovation and leadership and carries an honorarium of $5000.
The criteria for the award are:
- Cumulative contributions to the field.
- Influence on the work of others.
- Development of new research directions.
- Reasonably active participant in the ACM SIGCHI community, although people outside of this community with outstanding and relevant achievements are considered in exceptional circumstances
ACM DL:: http://dl.acm.org/citation.cfm?id=3058590
WEB:: http://chi2017.acm.org
Recorded at ACM CHI Conference on Human Factors in Computing Systems, CHI 2017, on May 8th 2017 in Denver, CO, USA.

CHI 2017 SIGCHILifetimeResearchAward: Brad A. Myers - RUBY: Reminiscing about User interfaces by Brad over the YearsBrad Myers, Human-Computer Interaction InstituteCarnegie Mellon University, Pittsburgh, United States
Brad Myers has been doing research in the area of human-computer interaction for the last 40 years. Along the way, he and his students created over 60 software systems, whose names are often acronyms for gemstones. This talk's acronym, Ruby, is fittingly the gemstone associated with a 40th anniversary. Myers's MITMaster's thesis, Incense, was one of the earliest data visualization systems. While working for PERQ Systems Corporation, Brad created one of the first commercial window managers, called Sapphire, with a number of features that later became widespread. His PhD dissertation featured an interactive tool called Peridot, a programming-by-demonstration system that specified the look and behaviors of widgets without conventional programming. At Carnegie Mellon University, he created the Garnet and Amulet toolkits that incorporated novel designs for objects, constraints, output handling, input handling, command objects, and interactive tools. Many of the innovations in these projects have been adopted by later research and commercial systems. Brad was one of the early researchers on innovative uses for handheld devices, in a large-scale project called Pebbles. Another focus has been on using HCI techniques to improve programming for novice, expert, and end-user programmers.
About Brad A. Myers
Brad A. Myers is a Professor in the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University. He is a member of the CHI Academy, a Fellow of the IEEE and ACM, and winner of nine best paper type awards and three Most Influential Paper awards. He is the author or editor of 475 publications, including 85 at CHI, and is one of a select few who has attended every CHI conference. He has served on the editorial boards of six journals, including HCI, ToCHI and IwC. His MIT Master’s thesis on “Incense” was one of the earliest data visualization systems. While working for PERQ Systems Corporation, Brad created one of the first commercial window managers with a number of features which later became widespread. His PhD dissertation from the University of Toronto featured an interactive tool called “Peridot,” a programming-by- demonstration system that specified the look and behaviors of widgets without conventional programming. At Carnegie Mellon University, he created the “Garnet” and “Amulet” toolkits, which incorporated novel designs for objects, constraints, output handling, input handling, command objects, and interactive tools. Many of the innovations in these projects have been adopted by later research and commercial systems. Brad was one of the early researchers on innovative uses for handheld devices. More recently, he has focused on using HCI techniques to improve programming for novice, expert, and end-user programmers. He has advised over 200 students, including 16 PhD students, many of whom are also professors, or are at top research labs.
About the SIGCHI Lifetime Research Award
The SIGCHI Lifetime Research Award is presented to individuals for outstanding contributions to the study of human-computer interaction. This award recognizes the very best, most fundamental and influential research contributions. It is awarded for a lifetime of innovation and leadership and carries an honorarium of $5000.
The criteria for the award are:
- Cumulative contributions to the field.
- Influence on the work of others.
- Development of new research directions.
- Reasonably active participant in the ACM SIGCHI community, although people outside of this community with outstanding and relevant achievements are considered in exceptional circumstances
ACM DL:: http://dl.acm.org/citation.cfm?id=3058590
WEB:: http://chi2017.acm.org
Recorded at ACM CHI Conference on Human Factors in Computing Systems, CHI 2017, on May 8th 2017 in Denver, CO, USA.

This video is an opportunity for you to learn more about Carnegie Mellon University's innovative degree in educational technology offered through the renowned ...

This video is an opportunity for you to learn more about Carnegie Mellon University's innovative degree in educational technology offered through the renowned Human-Computer Interaction Institute. If you are passionate about leveraging technology to develop better learning outcomes, consider pursuing a Masters of Educational Technology and LearningScience (METALS) degree. Our alumni are learning designers, learning engineers, and education designers within organizations that are impacting the industry and creating the future of education.

This video is an opportunity for you to learn more about Carnegie Mellon University's innovative degree in educational technology offered through the renowned Human-Computer Interaction Institute. If you are passionate about leveraging technology to develop better learning outcomes, consider pursuing a Masters of Educational Technology and LearningScience (METALS) degree. Our alumni are learning designers, learning engineers, and education designers within organizations that are impacting the industry and creating the future of education.

Human-Computer Interaction (HCI) at Georgia Tech

Human-Computer Interaction (HCI) allows us to augment our lives and do what was unthinkable just a decade ago using personal computing devices and networked systems. Georgia Tech is a pioneering force in a new age of HCI, with research advances using creative new form factors and approaches by some of the field’s leading researchers, right here in Atlanta. Take a look at some of the people and work at the institute and how they are shaping the future of global HCI research.

UW Master of Human-Computer Interaction + Design

Alumni and leading faculty of the UW Master of Human-Computer Interaction + Design discuss the innovative curriculum of this interdisciplinary program and the exciting career connections and opportunities available to graduates. Learn more at:
http://mhcid.washington.edu/
VideoTranscript:
[Jacob]
Our human-computer interaction and design program, I think, is ideally positioned to make a big impact in the world right now. Because as more and more products and services come out that are consumer facing and really involve the marriage between technology and people, we have to get that design right.
[Carolyn]
I think overall the industry is maturing. So before in technology if something worked it was magical, like it's cool that it works. But now, like people just have higher expectations of what will delight them, what will surprise them.
[Jacob]
The MHCID program is a cross-departmental, interdisciplinary program that is not owned by any one department. And the four departments that contribute faculty, time and resources to the program are the InformationSchool, where I come from, the Department of Computer Science and Engineering, the Department of Human Centered Design and Engineering, and the Division of Design within the School of Art.
[Carolyn]
Coming in I was totally surprised at the caliber of who was teaching our program. So there’s at least two or three professors I know in the past two years that were under, in the list of like 30 most innovative under 35. They’re like the people who wrote the book on input, on ubiquitous computing, on persuasive design.
[Linda]
Well, one of the nice things about this program is that, I think, it is more reflective of the workplace, in the sense that we recruit people from a variety of different backgrounds and perspectives and we bring them together.
[Chen-Hung]
It's a one year program, project based. It's basically centered with a studio class, and this studio class actually emphasizes on lots of hands-on work.
[Carolyn]
Our curriculum is focused on three specific sections. So, one research – so learning about the psychology and how, about people, how do you really understand and get at what people want and need, what their pain points are. And then from that, how do you ideate or create a solution to meet those needs. And then, prototyping a technology – learning how to actually execute on those types of ideas.
[Linda]
The capstone project is an opportunity to take all of the tools and knowledge that students have learned through our core curriculum and their electives and apply it to a more, a bit more intensive lengthy project.
[Jacob]
The capstone project is a massive portfolio piece that gives them a chance to really show off something substantial to a future employer.
[Linda]
We actually can provide a lot of hands-on career development support because we have a small cohort.
[Carolyn]
Since coming to the program I’ve had a ton of interviews with different design agencies, with technology companies, and I actually got a job as a user researcher at Amazon.
[Jacob]
Facebook and Google have taken some of the hires. We have others going out and doing startups of their own, and we have people working in nonprofits as well. So we're already starting to see a spread of opportunities that students are taking on.
[Linda]
A huge advantage is Seattle is a fantastic technology industry community and user experience community, and so, in fact, I think we are embedded in an incredibly dynamic global community that models exactly what we're teaching.
[Jacob]
For HCI and design, it really is maybe the nation’s center of gravity.

Amy Ogan (CS 2003,'08,'11) is an assistant professor of human-computer interaction in the School of Computer Science at Carnegie Mellon University in Pittsburgh.
An "educational technologist," Ogan's research focuses on ways to make learning experiences more engaging, effective and enjoyable. She's currently working on technology for college students, but her work will soon extend into K-12 classrooms.

City, University of London: MSc Human-Computer Interaction Design

City alumna Emily shares her experience of studying the Human-Computer InteractionDesign MSc at City University London and how undertaking this postgraduate course has helped her in her career.
For more information about Human-Computer Interaction Design
MSc, please visit: http://www.city.ac.uk/courses/postgraduate/human-computer-interaction-design

3:36

Human Computer Interaction (HCI) at RIT - In their own words

Hear about Human-computer interaction (HCI) from students and faculty in this short video!...

Human Computer Interaction (HCI) at RIT - In their own words

Hear about Human-computer interaction (HCI) from students and faculty in this short video!
HCI addresses the design, evaluation, and implementation of interactive computing and computing-based systems for the benefit of human use. HCI research is driven by technological advances and the increasing pervasiveness of computing devices in our society. With an emphasis on making computing technologies more user-friendly, HCI has emerged as a dynamic, multifaceted area of study that merges theory from science, engineering, and design—as well as concepts and methodologies from psychology, anthropology, sociology, and industrial design—with the technical concerns of computing.
Learn more - and apply - here: https://www.rit.edu/emcs/ptgrad/component/ptgrad/programdetail/1771

5:10

Human-Computer Interaction Design at City University London

Academic staff, alumni and students discuss the benefits of the MSc Human-Computer Interac...

Human–computer interaction

Human–computer interaction (HCi) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.

As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.

Chip Canter, who previously headed Verizon’s Go90 mobile-video service, has joined MassiveInteractive, a U.K.-based vendor that provides user-interface and personalization tools for over-the-top video providers. Canter is Massive’s global chief revenue officer, based in New York, where he leads the company’s sales, business development and marketing growth strategy worldwide ... ....

About halfway the page, they really bust it out with an interactive element that lets you increase or decrease the number of temporary slowdowns on lines, so you can see how it causes ripple effects throughout the entire system ... I'm a huge fan of this sort of interactive stuff....

TEANECK, N.J., May 24, 2018 /PRNewswire/ -- CognizantCTSH, +0.69% today announced Cognizant Interactive is ranked among the top agencies in the prestigious Ad AgeAgencyReport 2018 ... In its debut appearance, Cognizant Interactive is ranked as #3 Digital Agency Network in the world. Cognizant Interactive is at the forefront of bringing a human-centered approach to end-to-end experience transformation....

Vital services such as communications, financial trading, health care, and transportation depend on sophisticated algorithms. Some rely on unpredictable artificial intelligence techniques, such as deep learning, that are increasingly embedded in complex software systems. As high-speed trading, medical devices, and autonomous aircraft become more widely used, stronger checks are necessary to prevent failures. Design strategies that promote comprehensible, predictable, and controllable human-centered systems can increase safety and make failure investigations more effective. Social strategies that support human-centered independent oversight during planning, continuous monitoring during operation, and retrospective analyses following failures can play a powerful role in making more reliable and trustworthy systems. Clarifying responsibility for failures stimulates improved design thinking.
Ben Shneiderman is a Distinguished University Professor in the Department of Computer Science and the founding director (1983–2000) of the Human-Computer Interaction Laboratory at the University of Maryland, where he is also a member of the University of Maryland Institute for Advanced Computer Studies.
This event is cosponsored by the HarvardData ScienceInitiative.
For information about the Radcliffe Institute and its many public programs, visit https://www.radcliffe.harvard.edu/.

26:24

Elementary Presents Echo – MHCI Final Presentation

Echo is a concept for transparent, consumer banking. After four months of user and market ...

"Let Me Show You What I Think We Mean":Using Visual Models in the Design Process

Google Tech Talks
May 4, 2007
ABSTRACT
In this talk I will explain how we use visual modeling as a collaborative tool in the product and service design process to establish a common language and frame of reference among people from design, business, and technology. I will illustrate how we use models to map the territory of a project, as a tool to bridge the gap between immersive research and design implications, and as method for documenting the shift from what something might be to what something might be like as a solution.
Speaker: Shelley Evenson
Shelley Evenson is Director of Graduate Studies and an Associate Professor teaching in the area of interaction design in the School of Design at Carnegie Mellon University. She is also a voting faculty for the Human-Computer Interaction Institute at Carnegie Mellon. Prior to Carnegie Mellon, Shelley was an Adjunct Clinical Professor in the Technology and eCommerce Program, J.L.Kellogg Graduate School of Management.
Shelley has worked for more than 25 years in multidisciplinary consulting practices. Her work focuses on tapping into the needs of constituents, defining the best opportunities to respond to those needs, quickly prototyping the response and iteratively reshaping it based on feedback. Her current interests include design languages and strategy, experiences that skill, organizational interfaces, design for service and what lies beyond user-centered design.
Google engEDU
Speaker: Shelley Evenson

Analyzing the Privacy of Android Apps

Google Tech Talk
June 17, 2015
(click "show more" for more info)
Presented by Jason Hong, Carnegie Mellon University
ABSTRACT:
Many smartphone apps collect sensitive data about people, in a manner that many users find very surprising. How can we help everyday people in understanding the behaviors of their apps?
In this talk, Jason Hong presents three things. The first is results of interviews and surveys of app developers, probing their attitudes and behaviors towards privacy. The second is PrivacyGrade.org, a site that combines crowdsourcing and static analysis to analyze the behavior of 1M Android apps. The third is Gort, a tool that combines heuristics, crowdsourcing, and dynamic analysis to help analysts understand the behavior of a given app.
Since the original presentation, Android M launched a new permission model that Hong described as "offer[ing] a lot more privacy protection for people, primarily by making it easier to see what data is being requested as it is being used."
ABOUT THE SPEAKER:
Jason Hong is an associate professor in the Human Computer Interaction Institute at Carnegie Mellon University. He works in the areas of ubiquitous computing and usable privacy and security, and his research has been featured in the New York Times, MIT Tech Review, CBS Morning Show, CNN, Slate, and more. Jason is also a co-founder of WombatSecurity Technologies, and has participated on DARPA's Computer ScienceStudy Panel (CS2P), is an Alfred P. SloanResearch Fellow, a Kavli Fellow, a PopTech Science fellow, and currently holds the HCIICareer Development fellowship.

Deep Learning and the Future of AI | Yann LeCun | Talk 1/2

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, and identifiy objects in our photos with very good accuracy. These improvements are due in large part to the emergence of a new class of machine learning methods known as Deep Learning. A particular type of deep learning system called convolutional network (ConvNet) has been particularly successful for image and speech recognition.
But we are still quite far from emulating the learning abilities of animal of humans. A key element we are missing is predictive (or unsupervised) learning: the ability of a machine to model the environment, predict possible futures and understand how the world works by observing it and acting in it, a very active topic of research at the moment.
Yann LeCun,
Facebook AI Research & New York University.
---
Yann LeCun is Director of AI Research at Facebook, and SilverProfessor of DaraScience, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYUCenter for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer EngineeringDepartment.
He received the Electrical EngineerDiploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image ProcessingResearch Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty.
His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition.
LeCun has been on the editorial board of IJCV, IEEEPAMI, and IEEE Trans. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013 and 2014. He is on the science advisory board of Institute for Pure and Applied Mathematics, and has advised many large and small companies about machine learning technology, including several startups he co-founded. He is the lead faculty at NYU for the Moore-Sloan Data Science Environment, a $36M initiative in collaboration with UC Berkeley and University of Washington to develop data-driven methods in the sciences. He is the recipient of the 2014 IEEE Neural NetworkPioneer Award.

Dec. 5, 2017, Andy Ko, Learning to code: Why we fail, how we flourish

Title: Learning to code: Why we fail, how we flourish
Speaker Bio:
Andrew J. Ko is an Associate Professor at the University of Washington Information School and an Adjunct Associate Professor in the Paul G. AllenSchool of Computer Science and Engineering. He directs the Code & Cognition lab, which studies interactions between people and code, spanning the areas of human-computer interaction, computing education, and software engineering. He is the author of over 90 peer-reviewed publications, 9 receiving best paper awards and 2 receiving most influential paper awards. He received his Ph.D. at the Human-Computer Interaction Institute at Carnegie Mellon University in 2008, and degrees in Computer Science and Psychology with Honors from Oregon State University in 2002.
Abstract:
Millions of people are learning to code, but most fail. Why? In this talk I argue that we actually know very little about what programming is or how people learn it. I present my lab's numerous efforts to investigate these problems, including including studies of programming expertise, the failures of classes, bootcamps, books, and coding tutorials at promoting learning, and the challenges of sustaining interest in learning over time. I also present several new tools and techniques for learning to code that can substantially increase learning, productivity, and self-efficacy, including an approach to completely teaching rank novices a programming language in just a few hours. These findings are just a glimpse into the rapidly evolving area of computing education research.

InMind: A New Collaboration...

LearnSphere and Datashop (John Stamper)...

Latest News for: human-computer interaction institute

Chip Canter, who previously headed Verizon’s Go90 mobile-video service, has joined MassiveInteractive, a U.K.-based vendor that provides user-interface and personalization tools for over-the-top video providers. Canter is Massive’s global chief revenue officer, based in New York, where he leads the company’s sales, business development and marketing growth strategy worldwide ... ....

About halfway the page, they really bust it out with an interactive element that lets you increase or decrease the number of temporary slowdowns on lines, so you can see how it causes ripple effects throughout the entire system ... I'm a huge fan of this sort of interactive stuff....

TEANECK, N.J., May 24, 2018 /PRNewswire/ -- CognizantCTSH, +0.69% today announced Cognizant Interactive is ranked among the top agencies in the prestigious Ad AgeAgencyReport 2018 ... In its debut appearance, Cognizant Interactive is ranked as #3 Digital Agency Network in the world. Cognizant Interactive is at the forefront of bringing a human-centered approach to end-to-end experience transformation....

But in the tough times what kept me positive was being able to interact with dad and know he was still the same, much adored, man ...Going through training sessions, or simply doing a little bit of research, will help you to make the first move when interacting with your loved one ... The research proved that games stimulate those living with dementia, meaning users are more engaged and levels of interactivity are improved....

Spring marks the time of year when the N.C.WildlifeResources Commission receives the most calls from well-intentioned people who make the mistake of interacting with wildlife by feeding, making “pets” or otherwise “helping” wildlife ... 1 reason interactions between the public and wildlife can turn negative ... Anyone who has questions about human-wildlife interactions can call the commission’s N.C ... to 5 p.m ... ....

TEHRAN, May 23 (Xinhua) -- Iran's Supreme LeaderAyatollah Ali Khamenei on Wednesday ruled out the interaction with the U.S., calling it "untrustable" in fulfilling obligations, Khamenei's official website said. All successive U.S. governments are not bound to their obligations, Khamenei said during a meeting with senior Iranian officials, referring to the U.S. withdrawal from Iran's 2015 nuclear deal ... foreign policy," he said ... The U.S ... ....

BOULDER, Colorado, May 24, 2018 /PRNewswire/ -- Gululu, the world's first interactive water bottle designed to keep kids hydrated, has just announced the international launch of Gululu Go, a lighter, more portable version with a sound speaker. This marks a major step forward in the product's interactivity and toward the brand's goal of enabling kids to love drinking water and build a healthy habit....

Three new MixPlay-enabled games are launching today, as well, including Earthfall, which lets viewers interact with streamers or even change the game; Next Up Hero, where viewers can help a streamer by taking control or freeze the streamer at the worst possible moment, depending on their mood; and LateShift, a choose-your-own-adventure crime thriller you control....